Strategies and Tactics in Supply Chain Event Management
DOI: 10.1007/978-3-540-73766-7_10
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Design, Implementation and Evaluation of a Performance Measurement System for Virtual Enterprises in the Aerospace Industry

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“…Notwithstanding, the literature recognizes that the successful adoption of lean principles requires a holistic and collaborative strategic vision instead of an adoption focused on specific improvement initiatives (Hines et al 2004); the investigations about key determinants of lean are still mainly focused on production environment (Martínez-Jurado and Moyano-Fuentes, 2014) Traditionally, the literature suggests Critical Success Factors (CSFs) and Key Performance Indicators (KPIs) supporting performance improvement (Chae, 2009;Suh and Kwon, 2006). Some models are identified for analysing the effects of product variety on performance (Thonemann and Bradley, 2002), as well as addressing issues around performance measurement (Ruiz-Benitez et al 2018;Haque and James-Moore, 2005;Peters et al 2008). Since 2000s, researchers propose to combine Six Sigma and Lean strategy to favour performance improvement (George, 2002;Timans et al 2012) and a number of scholars investigated Lean Six Sigma (LSS) also referring to aerospace industry due to its recognized appropriateness to solve complex cross-functional problems and reduce variations in manufacturing processes (Antony et al, 2012.…”
Section: Introductionmentioning
confidence: 99%
“…Notwithstanding, the literature recognizes that the successful adoption of lean principles requires a holistic and collaborative strategic vision instead of an adoption focused on specific improvement initiatives (Hines et al 2004); the investigations about key determinants of lean are still mainly focused on production environment (Martínez-Jurado and Moyano-Fuentes, 2014) Traditionally, the literature suggests Critical Success Factors (CSFs) and Key Performance Indicators (KPIs) supporting performance improvement (Chae, 2009;Suh and Kwon, 2006). Some models are identified for analysing the effects of product variety on performance (Thonemann and Bradley, 2002), as well as addressing issues around performance measurement (Ruiz-Benitez et al 2018;Haque and James-Moore, 2005;Peters et al 2008). Since 2000s, researchers propose to combine Six Sigma and Lean strategy to favour performance improvement (George, 2002;Timans et al 2012) and a number of scholars investigated Lean Six Sigma (LSS) also referring to aerospace industry due to its recognized appropriateness to solve complex cross-functional problems and reduce variations in manufacturing processes (Antony et al, 2012.…”
Section: Introductionmentioning
confidence: 99%
“…Supply Chain Performance Measurement (Gunasekaran, Patel, and McGaughey 2004), EPMM (Bititci et al 2005), PMS-VE (Peters, Odenthal, Schilick 2008) G: KPIs to measure collaboration (Camarinha-Matos and Abreu 2007), PMS-BP (Alfaro, Ortiz, and Poler 2007), PmColNet (Pinto and Lucas 2010), GPM-SME , PMS in Collaborative Networks (Verdecho, Rodríguez, and Alfaro 2011) G: ANP (Verdecho, Rodríguez, and Alfaro 2011) T: GPM-BUS , Net-Challenge ICT platform (Shamsuzzoha et al 2013) Replenishment M: (Q, R) policy , TOC-SCRS (Wu et al 2010) G: VMI, QR, CPFR ; VICS 2011) T: VICS CPFR XML Messaging Model (VICS 2011) T: virtual hubs, SOA (Holmström et al 2002), MAS Share Costs and Profits M: simple/two revenue-sharing contract (Giannoccaro and Pontrandolfo 2004) M: shared-savings contracts, doublé moral hazard (Corbett, de Croix, and Ha 2005), cost allocation (Frisk et al 2006), equitable division of benefits , surplus calculation (Jähn 2010), economic model ( (Mykkänen and Tuomainen 2008), Architectures for Enterprise Integration and Interoperability , CIbFw , MISE (Bénaben et al 2010), orchestration of business processes (Lemrabet et al 2010), GloNet project (Camarinha-Matos, Afsarmanesh and Koelmel 2011), intra/inter-alignment of taxonomy , ONTO-PDM T: CIM, PIM, J2EE, P2P, PSM, ontologies, UEML (Bénaben et al 2010;Cretana, et al 2012), Interop platform to implement collaborative demand forecasting V-collab Forecast Management (Poler et al 2007) M: MDI (Cretana et al 2012) G: KPIs, previous evaluation Lotsizing M: algorithms that apply back-order lot-sizing (Gupta and Brennan 1994), policy (Q, R) (Thomas and Griffin 1996), quantity optimal discount (Corbett and Groote 2000), scheduling of batch jobs (Hall and Pots 2003) M: Distributed Order Promising System (Makatsoris, Chang, and Richards 2004), fuzzy MCDM (Haleh and H...…”
Section: Gmentioning
confidence: 99%